This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...

Abstract: This study aims to forecast the price range, i.e., the interval forecast between the upper and lower bounds of prices, using Generalized Extreme Value Regression (GEVReg) as a robust tool ...

Build stable, high-performance dashboards using REPT formulas and UNICHAR symbols instead of conditional formatting.

Power Pivot excels in handling large datasets and performing complex analytics, using data modeling and DAX expressions, but ...

BYROW replaces thousands of table formulas with one spill formula, making spreadsheets leaner and much more robust.

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Microsoft has woven its generative AI technology throughout Microsoft 365, the company’s productivity suite. Its Copilot AI assistant is most often used in M365 apps for text-oriented actions, such as ...

Quadratic regression extends linear regression by adding squared terms and pairwise interaction terms, enabling the model to capture non-linear structure and predictor interactions. The article ...